Back to Results

EFTA02511226.pdf

Source: DOJ_DS11  •  email/external  •  Size: 229.3 KB  •  OCR Confidence: 85.0%
View Original PDF

Extracted Text (OCR)

From: Joichi Ito Sent: Thursday, February 19, 2015 2:39 AM To: Barnaby Marsh Cc: Jeffrey Epstein Subject: Re: "Genius" finding Yes... BTW, I am going to recruit, possibly, Cynthia Greenleaf, Jonathan =anton's wife, to help. Jonathan is now the president of the American =cademy and Cynthia was Associate Provost at U of C and until recently =n executive search person in academia. They have experience with the =acarthur Fellows and have access to all of the stuff flowing through =he American Academy... So I am definitely tapping into that pipe. I'm also going to FOO and Sci FOO this year and will be very =ystematic about it. I'll use some sort of algorithm on the attendees =o figure out who to meet. We're also doing two faculty searches and now am screening all of the =ncoming applications and nominations. - Joi > On Feb 18, 2015, at 9:34 PM, Barnaby Marsh ‹ > =rote: > Yes, exactly - this is how it is at Harvard too, but very soon people > =now who the top minds are, and which are impostors - word spreads, > and =hose with the good minds get invited to lunches, talks, the > american =cademy, etc. there must be some way to crack this... > On 2/18/15, 9:27 PM, "Joichi Ito" c>wrote: » I think the brute force way of getting the interesting » 3attractors2=labs like George's to give us a list of the people who » they think would =it this model. » The problem is, and I'm working on this at MIT, most researchers =nd » post docs are sort of 3undocumented immigrants= that we don't » =ormally track » Joi >» On Feb 18, 2015, at 9:23 PM, Barnaby Marsh •t > =rote: >» On the right track- like the bayesian method. I think that the >» environment matters a lot too- the people that we look for aggregate >» =n places like Cambridge, where they can be with others who they can >» resonate with. My guess is that many times they might not have >» =ormal positions, but are visitors to labs, research groups, etc. Is >» there =ny way to get lists of such people??? >>> EFTA_R1_01643254 EFTA02511226 >» From: Joichi Ito < >» Date: Saturday, February 14, 2015 at 8:10 AM >» To: B Marsh < 1=a>, Jeffrey Epstein >» <jeevacation@gmail.com> >» Subject: Fwd: "Genius" finding >» >» Sent from my iPhone >» >» Begin forwarded message: >» »» From: Scott Page <- »» Date: February 14, 2015 at 07:16:47 EST »» To: Joichi Ito ca »» Subject: "Genius" finding >>» »» >>» »» I've been thinking about your question of how to identify amazing »» people. »» Here are several thoughts that don't necessarily cohere. >>» »» I think your approach has to depend partly on the goal. The »» =lgorithm I would construct to find the next great artist would »» differ from =ne to find a teacher, mathematician, cancer »» researcher, brain =cientist, etc... If you're totally wide open as »» to subject area, then it seems to me you want to cast a wide net. >>» »» I would be tempted to try the Bayesian Truth Serum and ask »» =omething like Pick a really smart friend, who would that person »» say should win a genius award. >>» »» Rather than try to identify people, you might instead seek out »» papers/projects/programs/ideas and then identify the person after »» =he fact. >>» »» You might want to consider asking people for the "coolest thing »» =hey know that's NOT on the web (yet) >>» »» So much filtering and assessment already goes on that most programs »» free ride on that -- giving award to people who have already won »» awards. This suggests that one place to look is at the "losers" - »» contact MacArthur, NIH, NSF, DARPA, GOOGLE, and ask who do you »» =egret not funding? >>» »» Once you've got a long list of possibilities you have many options. »» Here are some you may not have considered >>» »» You could also pay people on mechanical turk to write up little »» blurbs on each one and then seed them on Facebook, Twitter, etc.. »» =nd then only look at the ones that get retweeted. 2 EFTA_R1_01643255 EFTA02511227 >>» >>» You could use Matt Salganik's pairwise comparison website. >>» »» hope this helps. Happy to think more. >>» »» scotte >>» >>» -- »» Scott E Page »» University of Michigan-Ann Arbor »» Santa Fe Institute >> <?xml version=.0" encoding=TF-8"?> <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/Propertylist-1.0.dtd"> <plist version=.0"> <dict> <key>conversation-id</key> <integer>124627</integer> <key>date-last-viewed</key> <integer>0</integer> <key>date-received</key> <integer>1424313571</integer> <key>flags</key> <integer>8590195717</integer> <key>gmail-label-ids</key> <array> <integer>6</integer> <integer>2</integer> </array> <key>remote-id</key> <string>482959</string> </dict> </plist> 3 EFTA_R1_01643256 EFTA02511228

Document Preview

Document Details

Filename EFTA02511226.pdf
File Size 229.3 KB
OCR Confidence 85.0%
Has Readable Text Yes
Text Length 4,806 characters
Indexed 2026-02-12T18:37:48.234164

Related Documents

Documents connected by shared names, same document type, or nearby in the archive.

Ask the Files